Difference between revisions of "Signal Processing"

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* [http://towardsdatascience.com/how-to-apply-machine-learning-and-deep-learning-methods-to-audio-analysis-615e286fcbbc How to apply machine learning and deep learning methods to audio analysis | Gideon Mendels - Towards Data Science]
 
* [http://reality.ai/machine-learning-for-sensors-and-signal-data/ The Complete Guide to Machine Learning for Sensors and Signal Data | Reality AI]
 
* [http://reality.ai/machine-learning-for-sensors-and-signal-data/ The Complete Guide to Machine Learning for Sensors and Signal Data | Reality AI]
 
* [http://www.coursera.org/learn/advanced-machine-learning-signal-processing Advanced Machine Learning and Signal Processing | IBM - Coursera]
 
* [http://www.coursera.org/learn/advanced-machine-learning-signal-processing Advanced Machine Learning and Signal Processing | IBM - Coursera]

Revision as of 09:00, 4 April 2020

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Signal Processing Scientist

What You Will Be Doing - Conceive, design, prototype and implement advanced algorithms aimed at generating solutions to critical problems. - Assess algorithm performance on real-world data. - Support multiple projects throughout the company. - Engage customers and collaborators to provide technical results and recommendations. - Document results via written reports, briefings and well-commented code. - Additional duties as assigned.

What You Need for this Position - Bachelor's, Master's or PhD degree in physical sciences, engineering, or mathematics. - Ability to quickly pick up new skills and develop the expertise necessary to provide the best possible solution. - Experience in prototype-level scientific programming (using Matlab, Mathematica, Python, and/or C/C++). - Excellent interpersonal communications, technical writing, and briefing skills. - Capacity to work in a team with minimal supervision. - Agility to work multiple potentially disparate projects simultaneously. - Proven capability to develop creative solutions to complex technical problems. - Appetite to attack and solve interesting problems of critical importance to national security.